Numerical Computation and Epidemiological Risk Analysis of Sepsis Mortality among Adults with ICD-Coded Sepsis in MIMIC-IV

Innocent Obinna Okpara (), Roseline Toyin Abah () and Mary O. Durojaye ()

International Journal of Innovative Science and Research Technology (IJISRT), 2026, vol. 11, issue 08, 3374-3383

Abstract: Background: Transparent cohort characterization is a prerequisite for reliable sepsis prediction research, yet case definitions, admission units, outcome windows, and leakage controls vary considerably across studies.  Methods: We conducted a retrospective descriptive analysis of adult hospital admissions in MIMIC-IV version 3.1. Admissions were identified using an explicit ICD-coded sepsis phenotype. The primary modelling population was defined as the chronologically first eligible coded-sepsis admission per patient; all eligible admissions were retained for descriptive analyses. Outcomes included in-hospital, 30-day, and 90-day mortality. We summarized demographic characteristics, ICU involvement, coded severity, first ICU care unit, and the availability of ten candidate physiological variables. Unadjusted mortality differences and risk ratios were calculated from the reported stratum counts.

Keywords: Sepsis; Mortality; MIMIC-IV; Retrospective Cohort; Intensive Care; Missing Data; Electronic Health Records. (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:cvr:ijisrt:2026:08:ijisrt26aug1493

DOI: 10.38124/ijisrt/26aug1493

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